AI legal assistant using RAG for document-based Q&A ↗
Problem solved
Accessing and understanding legal information is complex and time-consuming. Users struggle to extract relevant insights from large legal documents. This system enables instant, context-aware answers grounded in real documents.
Outcome
Won Google Cloud Gen AI Exchange Hackathon 2025 · Built and deployed a production-grade GenAI system end-to-end
Built with
Pinecone · Google Vertex AI (Gemini) · RAG pipeline · Python · FastAPI · Google Cloud
Time taken
40 hours
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